Milestone 4 - Building a reproducible and fully automated data analysis pipeline

In this release, we use Docker to make the project reproducible on any machine that has Docker installed. We add a Makefile dependency diagram to the README file, and we do a final round of iteration on all aspects of the project (code, automation, writing, data visualizations, report).

v0.5.0

Changes in this Release

• Rebuilt Docker image and published to DockerHub with new tag

v0.4.0

Changes in this Release

• Rebuilt Docker image and published to DockerHub with new tag

Milestone 3 - Linking all scripts with Makefile and improving report

In this release, all the scripts are linked in a Makefile. Several improvements on creating environment, EDA analysis and summary of the project are made according to feedback from TA.

Milestone 2 - A data analysis project with multiple scripts and a final report

This release includes 4 scripts - data downloading, data preprocessing, EDA, machine learning analysis, and one Jupyter Book report that summarizes the findings and results for the project "Abalone Age Classifier".

Milestone 1 - Project Proposal & Exploratory data analysis

This release includes a project proposal, a data download script, and exploratory data analysis for the project "Abalone age classifier".